Journal article
Utilizing Constrained Bicyclic Peptides for In Vitro Diagnostics
- Abstract:
- Constrained bicyclic peptides (Bicycle molecules) with high affinity for biological targets have emerged as potentially powerful therapeutic agents, particularly for the in vivo targeting of cancer receptors. However, their antibody-mimetic properties have yet to be explored for use in diagnostic immunoassays. These synthetically derived compounds serve as biorecognition scaffolds that allow for facile site-selective modification and large-scale production. A phage display screen against various constructs of the SARS-CoV-2 nucleocapsid (N) protein identified several Bicycle molecules with binding affinities ranging from the micromolar to the low nanomolar range. These Bicycle molecules were validated in the development of enzyme- and nanozyme-linked immunosorbent assays, as well as enzymatic and colorimetric nanoparticle-based lateral flow immunoassays (LFIA) for the detection of ultralow concentrations of the SARS-CoV-2 N protein. We envision that these moieties enable robust, cost-effective, and large-scale development of ultrasensitive biosensors for a diverse range of biomarkers by leveraging their high binding affinity, minimalistic scaffold, and synthetic accessibility.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 4.8MB, Terms of use)
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- Publisher copy:
- 10.1021/acsnano.5c19041
Authors
+ Engineering and Physical Sciences Research Council
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- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- EP/K031953/1
+ Cancer Research UK
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- Funder identifier:
- https://ror.org/054225q67
- Grant:
- 100063
+ Royal Academy of Engineering
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- Funder identifier:
- https://ror.org/0526snb40
- Grant:
- CiET2021\94
- Publisher:
- American Chemical Society
- Journal:
- ACS Nano More from this journal
- Volume:
- 20
- Issue:
- 7
- Pages:
- 5928-5939
- Publication date:
- 2026-02-13
- Acceptance date:
- 2026-01-29
- DOI:
- EISSN:
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1936-086X
- ISSN:
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1936-0851
- Language:
-
English
- Keywords:
- Pubs id:
-
2374897
- Local pid:
-
pubs:2374897
- Source identifiers:
-
3798171
- Deposit date:
-
2026-02-25
- ARK identifier:
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Terms of use
- Copyright date:
- 2026
- Licence:
- CC Attribution (CC BY)
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